Fast methods for large-scale non-elliptical portfolio optimization

Accéder

Auteur(s)

Paolella, Marc

Accéder

Texte intégral indisponibleTexte intégral indisponibleTexte intégral indisponible

Description

Simple, fast methods for modeling the portfolio distribution corresponding to a non-elliptical, leptokurtic, asymmetric, and conditionally heteroskedastic set of asset returns are entertained. Portfolio optimization via simulation is demonstrated, and its benefits are discussed. An augmented mixture of normals model is shown to be superior to both standard (no short selling) Markowitz and the equally weighted portfolio in terms of out of sample returns and Sharpe ratio performance.

Langue

English

Date

2014

Le portail de l'information économique suisse

© 2016 Infonet Economy